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An integrative DNA barcoding framework of ladybird beetles (Coleoptera: Coccinellidae)

Even though ladybirds are well known as economically important biological control agents, an integrative framework of DNA barcoding research was not available for the family so far. We designed and present a set of efficient mini-barcoding primers to recover full DNA barcoding sequences for Coccinel...

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Autores principales: Huang, Weidong, Xie, Xiufeng, Huo, Lizhi, Liang, Xinyue, Wang, Xingmin, Chen, Xiaosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308296/
https://www.ncbi.nlm.nih.gov/pubmed/32572078
http://dx.doi.org/10.1038/s41598-020-66874-1
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author Huang, Weidong
Xie, Xiufeng
Huo, Lizhi
Liang, Xinyue
Wang, Xingmin
Chen, Xiaosheng
author_facet Huang, Weidong
Xie, Xiufeng
Huo, Lizhi
Liang, Xinyue
Wang, Xingmin
Chen, Xiaosheng
author_sort Huang, Weidong
collection PubMed
description Even though ladybirds are well known as economically important biological control agents, an integrative framework of DNA barcoding research was not available for the family so far. We designed and present a set of efficient mini-barcoding primers to recover full DNA barcoding sequences for Coccinellidae, even for specimens collected 40 years ago. Based on these mini-barcoding primers, we obtained 104 full DNA barcode sequences for 104 species of Coccinellidae, in which 101 barcodes were newly reported for the first time. We also downloaded 870 COI barcode sequences (658 bp) from GenBank and BOLD database, belonging to 108 species within 46 genera, to assess the optimum genetic distance threshold and compare four methods of species delimitation (GMYC, bPTP, BIN and ABGD) to determine the most accurate approach for the family. The results suggested the existence of a ‘barcode gap’ and that 3% is likely an appropriate genetic distance threshold to delimit species of Coccinellidae using DNA barcodes. Species delimitation analyses confirm ABGD as an accurate and efficient approach, more suitable than the other three methods. Our research provides an integrative framework for DNA barcoding and descriptions of new taxa in Coccinellidae. Our results enrich DNA barcoding public reference libraries, including data for Chinese coccinellids. This will facilitate taxonomic identification and biodiversity monitoring of ladybirds using metabarcoding.
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spelling pubmed-73082962020-06-23 An integrative DNA barcoding framework of ladybird beetles (Coleoptera: Coccinellidae) Huang, Weidong Xie, Xiufeng Huo, Lizhi Liang, Xinyue Wang, Xingmin Chen, Xiaosheng Sci Rep Article Even though ladybirds are well known as economically important biological control agents, an integrative framework of DNA barcoding research was not available for the family so far. We designed and present a set of efficient mini-barcoding primers to recover full DNA barcoding sequences for Coccinellidae, even for specimens collected 40 years ago. Based on these mini-barcoding primers, we obtained 104 full DNA barcode sequences for 104 species of Coccinellidae, in which 101 barcodes were newly reported for the first time. We also downloaded 870 COI barcode sequences (658 bp) from GenBank and BOLD database, belonging to 108 species within 46 genera, to assess the optimum genetic distance threshold and compare four methods of species delimitation (GMYC, bPTP, BIN and ABGD) to determine the most accurate approach for the family. The results suggested the existence of a ‘barcode gap’ and that 3% is likely an appropriate genetic distance threshold to delimit species of Coccinellidae using DNA barcodes. Species delimitation analyses confirm ABGD as an accurate and efficient approach, more suitable than the other three methods. Our research provides an integrative framework for DNA barcoding and descriptions of new taxa in Coccinellidae. Our results enrich DNA barcoding public reference libraries, including data for Chinese coccinellids. This will facilitate taxonomic identification and biodiversity monitoring of ladybirds using metabarcoding. Nature Publishing Group UK 2020-06-22 /pmc/articles/PMC7308296/ /pubmed/32572078 http://dx.doi.org/10.1038/s41598-020-66874-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Huang, Weidong
Xie, Xiufeng
Huo, Lizhi
Liang, Xinyue
Wang, Xingmin
Chen, Xiaosheng
An integrative DNA barcoding framework of ladybird beetles (Coleoptera: Coccinellidae)
title An integrative DNA barcoding framework of ladybird beetles (Coleoptera: Coccinellidae)
title_full An integrative DNA barcoding framework of ladybird beetles (Coleoptera: Coccinellidae)
title_fullStr An integrative DNA barcoding framework of ladybird beetles (Coleoptera: Coccinellidae)
title_full_unstemmed An integrative DNA barcoding framework of ladybird beetles (Coleoptera: Coccinellidae)
title_short An integrative DNA barcoding framework of ladybird beetles (Coleoptera: Coccinellidae)
title_sort integrative dna barcoding framework of ladybird beetles (coleoptera: coccinellidae)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308296/
https://www.ncbi.nlm.nih.gov/pubmed/32572078
http://dx.doi.org/10.1038/s41598-020-66874-1
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